Substrate-dependent risk stratification for implantable cardioverter defibrillator therapies using cardiac magnetic resonance imaging: The importance of T1 mapping in nonischemic patients
Autor: | Reza Razavi, Mark D O'Neill, Zhong Chen, Amedeo Chiribiri, Jaswinder Gill, Francis Murgatroyd, Gerald Carr-White, Benjamin Sieniewicz, Christopher A. Rinaldi, Julian Bostock, Simon Claridge, Jonathan M. Behar, Tom Jackson, Bradley Porter, Silvia Mennuni |
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Rok vydání: | 2016 |
Předmět: |
Adult
Male medicine.medical_specialty medicine.medical_treatment Population Cardiomyopathy Magnetic Resonance Imaging Cine 030204 cardiovascular system & hematology Risk Assessment 03 medical and health sciences QRS complex Electrocardiography 0302 clinical medicine Cardiac magnetic resonance imaging Physiology (medical) Internal medicine medicine Clinical endpoint Humans 030212 general & internal medicine Longitudinal Studies Prospective Studies Prospective cohort study education Aged Aged 80 and over education.field_of_study medicine.diagnostic_test business.industry Middle Aged Implantable cardioverter-defibrillator medicine.disease Defibrillators Implantable Ventricular fibrillation Ventricular Fibrillation Cardiology Female Cardiology and Cardiovascular Medicine business Cardiomyopathies Follow-Up Studies |
Zdroj: | Journal of cardiovascular electrophysiology. 28(7) |
ISSN: | 1540-8167 |
Popis: | Introduction The role of implantable cardioverter defibrillators in non-ischemic cardiomyopathy is unclear and better risk-stratification is required. We sought to determine if T1 mapping predicts appropriate defibrillator therapy in patients with non-ischemic cardiomyopathy. We studied a mixed cohort of ischemic and non-ischemic patients to determine whether different CMR applications (T1 mapping, late gadolinium enhancement and Grayzone) were selectively predictive of therapies for the different arrhythmic substrates. Methods and Results We undertook a prospective longitudinal study of consecutive patients receiving defibrillators in a tertiary cardiac center. Participants underwent CMR myocardial tissue-characterization using T1 mapping and conventional CMR scar assessment before device implantation. QRS duration and fragmentation on the surface electrocardiogram were also assessed. The primary endpoint was appropriate defibrillator therapy. One hundred thirty patients were followed up for a median of 31 months (IQR (+/-9 months). In non-ischemic patients T1_native was the sole predictor of the primary endpoint (HR 1.12 per 10ms increment in value (95% C.I 1.04-1.21; p≤0.01). In ischemic patients, Grayzone_2SD-3SD was the strongest predictor of appropriate therapy (HR 1.34 per 1% left ventricular increment in value (95% C.I 1.03-1.76;p = 0.03). QRS fragmentation correlated well with myocardial scar core (ROC AUC 0.64; p = 0.02) but poorly with T1_native (ROC AUC 0.4) and did not predict appropriate therapy. Conclusions In the medium-long term, T1_native mapping was the only independent predictor of therapy in non-ischemic patients whereas Grayzone was a better predictor in ischemic patients. These findings suggest a potential role for T1_native mapping in the selection of patients for ICDs in a non-ischemic population. This article is protected by copyright. All rights reserved |
Databáze: | OpenAIRE |
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